Source: Harvard Business Review
Source: Drew Conway
Some books that can be helpful (last 3 are available online!):
Matloff, Norman. 2011. The Art of R Programming: A Tour of Statistical Software Design. San Francisco, CA: No Starch Press.
Peng, Roger D. 2016. R Programming for Data Science. Leanpub.
Wickham, Hadley, and Garrett Grolemund. 2017. R for Data Science: Import, Tidy, Transform, Visualize, and Model Data. Sebastopol, CA: O'Reilly Media.
Wickham, Hadley. 2019. Advanced R. 2nd ed. Boca Raton, FL: Chapman and Hall/CRC.
|1||Introduction to Computation|
|3||Control Flow and Functions|
|4||Debugging and Testing|